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Simulation Strategies to Reduce Recidivism

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Cover of 'Simulation Strategies to Reduce Recidivism'

Table of Contents

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    Book Overview
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    Chapter 1 Planning for the Future of the US Correctional System
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    Chapter 2 A Case Study in Gaps in Services for Drug-Involved Offenders
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    Chapter 3 The Simulation Modelling Process
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    Chapter 4 The Empirical Basis for the RNR Model with an Updated RNR Conceptual Framework
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    Chapter 5 Creating Simulation Parameter Inputs with Existing Data Sources: Estimating Offender Risks, Needs, and Recidivism
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    Chapter 6 The Responsivity Principle: Determining the Appropriate Program and Dosage to Match Risk and Needs
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    Chapter 7 Reducing Recidivism Through Correctional Programming: Using Meta-Analysis to Inform the RNR Simulation Tool
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    Chapter 8 RNR Simulation Tool: A Synthetic Datasets and Its Uses for Policy Simulations
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    Chapter 9 A Simulation Modeling Approach for Planning and Costing Jail Diversion Programs for Persons with Mental Illness
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    Chapter 10 Using Discrete-Event Simulation Modeling to Estimate the Impact of RNR Program Implementation on Recidivism Levels
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    Chapter 11 Risk-Need-Responsivity (RNR): Leading Towards Another Generation of the Model
Attention for Chapter 6: The Responsivity Principle: Determining the Appropriate Program and Dosage to Match Risk and Needs
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Citations

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Chapter title
The Responsivity Principle: Determining the Appropriate Program and Dosage to Match Risk and Needs
Chapter number 6
Book title
Simulation Strategies to Reduce Recidivism
Published by
Springer, New York, NY, January 2013
DOI 10.1007/978-1-4614-6188-3_6
Book ISBNs
978-1-4614-6187-6, 978-1-4614-6188-3
Authors

Erin L. Crites, Faye S. Taxman, Crites, Erin L., Taxman, Faye S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Psychology 2 50%
Social Sciences 1 25%
Unknown 1 25%

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